Example files
config_dir = system.file("extdata", "TestModelComplex", package = "r4Casal2", mustWork = TRUE)
## This function is the key function will read a Casal config file and report useful information
## should be used when describing model structures and assumptions
## as well as validation.
summary = summarise_config(config_dir, config_file = "config.csl2", quiet = T)
names(summary)
## [1] "category_df" "estimate_df" "full_category_df"
## [4] "method_df" "catch_df" "time_step_df"
## [7] "time_step_df_just_lab" "obs_year_df" "model_years"
## [10] "model_ages" "model_length_bins" "M_by_category"
## [13] "model_block"
ggplot(summary$catch_df, aes(x = year, y = catch, col = fishery)) +
geom_line(size = 1.5) +
labs(x = "Year", y = "Catch (t)", col = "Fishery")
## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.

ggplot(summary$obs_year_df, aes(x = year, y = observation, col = observation, size = active)) +
geom_point() +
guides(colour = "none", size = "none")
## Warning: Removed 509 rows containing missing values or values outside the scale range
## (`geom_point()`).

kable(x = summary$time_step_df, caption = "Annual cycle")
(#tab:annual_cycle)Annual cycle
Oct_Nov |
Wrtn (transition_category), Ertn (transition_category), Instant_mortality (mortality_instantaneous) |
0.25 |
0.25 |
0.25 |
0.25 |
Dec_Mar |
recruit_W (recruitment_beverton_holt), recruit_E (recruitment_beverton_holt), Instant_mortality (mortality_instantaneous) |
0.6 |
0.6 |
0.6 |
0.6 |
Apr_Jun |
Whome (transition_category), Instant_mortality (mortality_instantaneous) |
0.9 |
0.9 |
0.9 |
0.9 |
End_Jun |
Wspmg (transition_category), Espmg (transition_category) |
0.9 |
0.9 |
0.9 |
0.9 |
Jul_Sep |
Ageing (ageing), Instant_mortality (mortality_instantaneous), SSB_E (derived-quantity 0.5), SSB_W (derived-quantity 0.5) |
0.0 |
0.0 |
0.0 |
0.0 |
kable(x = summary$full_category_df, caption = "Category information")
Table 3.1: Category information
male.west.sa |
age_size_W_male (von_bertalanffy) |
Length_weight (basic) |
normal |
male.east.cr |
age_size_E_male (von_bertalanffy) |
Length_weight (basic) |
normal |
male.west.cr |
age_size_W_male (von_bertalanffy) |
Length_weight (basic) |
normal |
male.west.wc |
age_size_W_male (von_bertalanffy) |
Length_weight (basic) |
normal |
male.east.cs |
age_size_E_male (von_bertalanffy) |
Length_weight (basic) |
normal |
female.west.sa |
age_size_W_female (von_bertalanffy) |
Length_weight (basic) |
normal |
female.east.cr |
age_size_E_female (von_bertalanffy) |
Length_weight (basic) |
normal |
female.west.cr |
age_size_W_female (von_bertalanffy) |
Length_weight (basic) |
normal |
female.west.wc |
age_size_W_female (von_bertalanffy) |
Length_weight (basic) |
normal |
female.east.cs |
age_size_E_female (von_bertalanffy) |
Length_weight (basic) |
normal |
kable(x = summary$estimate_df, caption = "Estimate summary")
Table 3.2: Estimate summary
CSacousq |
- |
lognormal |
0.01 |
4.53 |
WCacousq |
- |
lognormal |
0.01 |
3.35 |
CRsumq |
- |
lognormal |
0.016 |
0.51 |
SAsumq |
- |
lognormal |
0.020 |
0.51 |
SAautq |
- |
lognormal |
0.020 |
0.51 |
CR_process_error |
- |
uniform |
0.0 |
1 |
SA_process_error |
- |
uniform |
0.0 |
1 |
B0_E_with_total_log_b0_prior |
- |
uniform |
12.6 |
16.2 |
B0_W_with_proportion_prior |
- |
beta |
0.11 |
0.59 |
YCS_E |
- |
lognormal |
0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 |
8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 |
YCS_W |
- |
lognormal |
0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 |
8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 8.60 |
M_male_x0 |
- |
uniform |
5.1 |
9.1 |
M_male_y0 |
- |
uniform |
0.01 |
0.30 |
M_male_y1 |
- |
uniform |
0.5 |
2.0 |
M_male_y2 |
- |
uniform |
0.5 |
2.0 |
M_female_x0 |
- |
uniform |
5.1 |
9.1 |
M_female_y0 |
- |
uniform |
0.01 |
0.30 |
M_female_y1 |
- |
uniform |
0.5 |
2.0 |
M_female_y2 |
- |
uniform |
0.5 |
2.0 |
sel_Whome |
- |
uniform |
0.01 0.01 0.01 0 0 0 0 1 |
1 1 1 1 1 1 1 1 |
sel_Espmg_male |
- |
uniform |
0 0 0 0 0 0 0 0 |
1 1 1 1 1 1 1 1 |
sel_Wspmg_male |
- |
uniform |
0 0 0 0 0 0 0 0 |
1 1 1 1 1 1 1 1 |
sel_Espmg_female |
- |
uniform |
0 0 0 0 0 0 0 0.6 |
1 1 1 1 1 1 1 1 |
sel_Wspmg_female |
- |
uniform |
0 0 0 0 0 0 0 0.6 |
1 1 1 1 1 1 1 1 |
Enspsl_mu |
- |
uniform |
64 |
84 |
Enspsl_s_l |
- |
uniform |
4 |
44 |
Enspsl_s_r |
- |
uniform |
4 |
44 |
Wnspsl_mu |
- |
uniform |
64 |
84 |
Wnspsl_s_l |
- |
uniform |
4 |
44 |
Wnspsl_s_r |
- |
uniform |
4 |
44 |
Espsl_a50 |
- |
uniform |
6 |
80 |
Espsl_ato95 |
- |
uniform |
4 |
60 |
Wspsl_shift_param |
- |
normal_by_stdev |
-10.24 |
2.24 |
CRsl_mu |
- |
uniform |
64 |
84 |
CRsl_s_l |
- |
uniform |
4 |
44 |
CRsl_s_r |
- |
uniform |
4 |
44 |
SAsl_mu |
- |
uniform |
64 |
84 |
SAsl_s_l |
- |
uniform |
4 |
44 |
SAsl_s_r |
- |
uniform |
4 |
44 |